Spatial Enhancement of Spectral Data and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 4944
Special Issue Editor
Interests: hyperspactral image analysis; machine learning; deep learning techniques; dimensionality reduction; super-resolution; spectral unmixing; data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Generally, for satellite images, the highest spatial resolution is captured by the panchromatic (PAN) image. However the drawback of the PAN image is that it has no spectral information beyond that which is averaged within the bandpass of the PAN image. Unlike a PAN image, multispectral (MS) and in particular hyperspectral (HS) satellite images cover a wider spectral range with moderate to high resolution. However, as compared to MS images, HS images have a better spectral resolution, that may result in a very high number of bands having low spatial resolution. In several practical applications, such as, mapping, material identification, anomaly detection or mineral exploration, one of the main challenges is to improve the spatial resolution i.e. spatial details, while preserving the original spectral information. In the last decades the advancements in the field of spatial enhancement of spaceborne multispectral and hyperspectral images has been very active. Several approaches have been proposed based on super-resolution and image fusion techniques. Moreover, the enhancement of spatial resolution of multispectral and hyperspectral images permits the improvement of existing remote sensing applications and lead to the development of new ones.
Aim of this Special Issue is to gather the experts in the field of spatial enhancement of spectral images to share the most advanced techniques and applications. From this point of view, a particular focus will be set on the investigation on how new spatial enhancement of multi-hyperspectral images can advance scientific capabilities of remote sensing beyond the conventional applications.
Therefore, we would like to invite submission for the following topics:
- Super-resolution techniques
- Image fusion techniques
- New spatial enhancement methodologies
- Pre-processing techniques preparatory for the spatial enhancement
- Evaluation methodologies for spatially enhanced multispectral and hyperspectral images
- Spectral quality assessment techniques
- Assessment of enhanced images for conventional and innovative applications
Dr. Giorgio Antonino Licciardi
Guest Editor
Manuscript Submission Information
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Keywords
- spatial enhancement
- super-resolution
- pan-sharpening
- image fusion
- spectral/spatial quality indices
- pre-processing
- innovative applications
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